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    841 fourier jobs found, pricing in USD

    As an individual working in the signal processing industry, I'm currently running a project that needs some expert technology adaptability. The project involves: - Converting an existing Matlab code into CUDA. - Ensuring the code correctly executes Fourier transforms when run on a Jetson Nano platform. The ideal candidate for this assignment would have: - An extensive working knowledge of Matlab and CUDA. - Strong experience in handling signal processing tasks, especially Fourier transforms. - Proven experience in dealing with the Jetson Nano platform. - Excellent debugging skills to ensure the proper functioning of the transferred code. If you possess these skills and experience, feel free to submit a bid. Looking forward to working with a proficient and dedicated f...

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    I'm in need of an experienced professional to conduct advanced signal processing tasks with an emphasis on frequency analysis of Time Series datasets. The project...following areas: - Windowing and Time Frequency Analysis (FFT & STFT) - Spatial Filtering & Synchronized Averaging - Knowledge and application of different windowing techniques, including Hann and Hamming windows. The key objective of this project is to conduct comprehensive frequency analysis. A background in FFT skills, and experience with Windowing, Wavelet Transform and Short-Time Fourier Transform will be crucial for success in this role. It's vital that you have a solid understanding and hands-on experience in these specific areas. If this sounds like a project that matches your skills, I ...

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    In this project, we're seeking a skillful professional who could adeptly perform both buoyancy and wind speed c...buoyancy and wind speed. Ideally, the chosen freelancer should possess experience in physics, fluid dynamics, meteorology, or related fields to meet the project's requirements accurately and efficiently. - To accomplish this task, the freelancer should be proficient in fluid dynamics, applying it effectively to compute buoyancy of various objects. - Additionally, having expertise in Fast Fourier Transform (FFT) is highly desirable for accurate wind speed calculations. By fulfilling these criteria, we can ensure the highest level of precision in our calculations, facilitating our work significantly. Please submit your bid only if you have the necessary sk...

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    ...in industrial loads. This project intends to ensure smooth operational workflow by accurately identifying and mitigating harmonic disruption. Key aspects of the project include: - Effective current sensing - Accurate Fast Fourier Transform (FFT) analysis - Utilizing both Arduino IDE and Python for FFT implementation I am primarily interested in freelancers who possess: - Strong proficiency in Arduino IDE and Python - Experience with harmonics and their mitigation in industrial settings - Understanding of current sensing techniques - Familiarity with Fast Fourier Transform (FFT) analysis. This project aims at enhancing the reliability and efficiency of industrial loads. Your task is to ensure that the active harmonic filter reduces the harmonic distortion to accepta...

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    I'm seeking a skilled mathematician with expertise in Fourier Transform and Ruger kutta. The project involves solving a simple specific mathematical problem, the nature of which isn't clarified yet perhaps it might be an integral or differential equation. The successful freelancer should ideally have proven experience specifically in Fourier Transform, and mathematical problem-solving. The judgment criterion for this project will not be the method or the clarity of the explanation provided, but the accuracy of the solution. This focus necessitates an individual who really understands the principles and can apply them accurately, rather than just theorising. Here's what I'm looking for: - Extensive experience in Fourier Transform - Demonstrated prob...

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    Project Description: I am looking for a freelancer who can perform Fourier analysis on pressure data in a real condition. The nature of the pressure data is both continuous and discrete. The complexity of the pressure variation is low. The analysis results should be presented in both graphical representation and a written report. Skills and Experience: - Strong understanding of Fourier analysis and its application in real-world data analysis - Proficiency in collecting and analyzing continuous and discrete data - Ability to interpret and visualize data using graphical representations - Excellent technical writing skills to provide a detailed written report on the analysis results Carry out data processing and show detailed calculations and plotted graphs A research documen...

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    Job requirements: -Good knowledge and experience in C++ and QT -Experience with git and github project -Knowledge in RF (Radio Frequency) and FFT (Fast Fourier Transform) would be nice Job descriptions: the existing continuous scan / sweep framework with single scan functionality on the number of bandwidth multiplication, tuned the scan / sweep frequency accordingly FFT averaging feature for other mode than fixed mode, e.g. moving average, max average, etc for variable number of bandwidth multiplication. Fix bugs user input for scan range, namely: span, start frequency, stop frequency for variable span, start frequency and stop frequency. Fix bugs - The above implementation will be test with sdrangel

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    Hi Mashruf Zaman C., I noticed your profile and would like to offer you my project. We can discuss any details over chat.

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    Hi Mashruf Zaman C., I noticed your profile and would like to offer you my project. We can discuss any details over chat.

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    I am in need of an expert in Fourier analysis. I have some questions that I need answered regarding some integrals.

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    Complete a code that is half written of echo cancellation following the project requirements using python, Fourier series and signals

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    Project Description: I am seeking a skilled signal processing expert to assist with an audio recording project that requires moderate-level echo cancellation in python. Intended Use: - The project is focused on audio recording applications. Skills and Experience: - Strong background in signal processing and echo cancellation techniques - Experience working on audio recordin...techniques - Experience working on audio recording projects - Familiarity with various software and platforms for signal processing - Proficiency in the specific software/platform preferred by the client Specific Software/Platform: - The client has a specific software/platform preference for the project. Have framework of code that needs to be completed in a few hours. Requires knowledge of Fourier...

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    ...requirements and provide the necessary expertise. Communication: - The client prefers instant messaging for project updates and discussions. Skills and Experience: - Proficiency in MATLAB and its toolboxes related to control systems and signal/image processing. - Strong knowledge of control systems theory and its application in MATLAB. - Experience in signal processing techniques such as filtering, Fourier transforms, and digital signal processing. - Familiarity with image processing algorithms and techniques, including image filtering, enhancement, and feature extraction. - Ability to work independently and deliver high-quality results within the specified timeframe. If you have the expertise and skills required for this project, please bid and provide relevant examples of yo...

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    I am looking for an intermediate level freelancer to develop a Python library for echo cancellation within 2 days. The main goal of the project is to improve audio quality in Python programs. - Intermediate level experience in Python programming - Knowledge of audio processing helps Ideal Skills: - Proficiency in Python programming language - Familiarity with signals and Fourier series - Experience in Python libraries If you have the required skills and can complete the project within the specified timeline, please submit your proposal.

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    ...It lets the user detect what song they're listening to. You'll create a Chrome extension that does something similar. It will be always listening, and it will parse 5-6 second clips of ambient audio to determine if a specific audio signature has been detected. If nothing is detected, the audio is discarded and the process starts all over again, and keeps running. You'll use the algorithm Fast Fourier Transform to accomplish this. There are libraries to do it. You'll want to create a couple hashes for testing, like dog barking or something like that, using a canned audio file. The key is, the initial processing has to happen client side/browser side (not cloud/server side). The extension will simply return the confidence level if and when the pre-determined ...

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    Assessment about filters Table of Contents:  Introduction ï‚· Definition of Signal Modulation ï‚· Importance and Utilization of Signal Modulation  Types of Signal Modulation 1. Amplitude Modulation 2. Frequency Modulation 3. Phase Modulation  Implementation of Signal Modulation 1. FM Implementation 2....Modulation ï‚· Importance and Utilization of Signal Modulation  Types of Signal Modulation 1. Amplitude Modulation 2. Frequency Modulation 3. Phase Modulation  Implementation of Signal Modulation 1. FM Implementation 2. AM Implementation 3. PM Implementation  Applications of Signal Modulation 1. Applications of FM 2. Applications of AM 3. Applications of PM  Advances of Signal Modulation  MATLAB – Fourier Analysis 1. Square Wave 2. Triangular Wave  Conclusion  References

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    I have the time-series data consisting of 5 gestures which contains noise too. I want to remove the noise and extract meaningful features using multiple signal processing techniques (e.g. Fourier Transform). After feature extraction, i want to build a LSTM Model based on the features which has an accuracy > 90 and works well on new data too.

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    I have a Radar Sensor (IVS-947). Link: Datasheet: attached You need to write code for NUCLEO-F411RE board which will be connected with IVS947 radar sensor. The code should able to read num...Datasheet: attached You need to write code for NUCLEO-F411RE board which will be connected with IVS947 radar sensor. The code should able to read number of moving objects within 80 meters, distance and their speed. The code can be developed in keil or STM32Cube. You should read the datasheet and write the connection between NUCLEO board and sensor. ** You must use Arm_CMSIS_DSP library for fast Fourier transformation which is the key for object detection. **It is needed to provide a simple GUI using matlab/python. Reference: attached

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    ...need to have time and spectrum attributes aligning with MFCC coefficients Short-term Fourier transform (STFT) so far fits best with my objective. My work is to detect features or patterns as discrete units (like how a small chunk of speech signal can be mapped to a word or a character) in speech signals. Computations can focus on specific attributes of a speech signal like, (but not limited to), a) speech unit transition patterns - information derived from acoustic or sound characteristics of speech signal. b) speech unit boundary patterns - information derived from acoustic and/or phonological events in speech signals. It could fit into developing a mathematical model that is a variant of Short term Fourier transform (STFT) or something better. Ideally, windowing for e...

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    I summed up 3 sine waves, then made a Fourier analysis but it doesn't work properly. Frequencies are 100 times smaller and amplitudes are 100 times highers. Additionally the biggest amplitude is linked to the smallest period. Finally, I have no idea how to find the phase. Thanks in advance your proposal.

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    A project that includes noise classification and is based on the Urbansound8K dataset. Initially, the data must be read and converted using either Cousine, Wavelet, or Fourier transformation methods. After that, the data must be normalized to form a CNN. Then the code is trained on this data. In the end the output should allow us to be the effect of noise on the classification after the transforms. that should be using PyTorch implemented.

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    We have an accelerometer "Kistler Type 870 4B25" mounted on an asynchronous machine , and our goal is to capture its signal using LabVIEW. We will then apply a Fast Fourier Transform (FFT) to obtain its spectrum and use an algorithm to estimate the RPM of the machine.

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    Signal Processing and Fourier transform is to be used in this projetc

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    Assalam o alaikum, I am Muhammad Javed from PAKISTAN. I am looking for matlab experts to work with me on different tasks related to following areas: Power Systems Control systems Digital Signal Processing Image Processing Artificial Intelligence Adaptive Systems Neural Networks Micro-grid simulation Discrete Fourier transform I am looking for long term work relationship. New freelancers are warmly welcomed. Important Note: I need dedicated freelancers who strictly follow the deadline and give me good quality work without any plagiarism.

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    1. Input: Data set contains EEG signals in EDF format. 2. Preprocessing: Need to split the signal into 30sec epochs. 3. Feature Extraction: Fast Fourier transfrom (need signal representation after FFT) 4. Convert it into Spectrogram in frequency domain (need spectrogram image in frequency domain)

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    1. Input: EEG dataset( in form of .edf files = total 61 files with 30 mins or more size) 2. Pre-processing: divide each signal into 30 sec epochs 3. Signal to spectogram: coverting the signal into spectogram using Fast Fourier Transform (need signal and spectogram representation) 4. Data splitting: training-75, testing-25 5. Classification: using pretrained transfer learning models VGG16 InceptionV3 DenseNet169 ConvNeXtBase 6. Output: the input signal is MCI or Normal Control 7. Performance metrics- Accuracy, precision, recall, f1-score Note: Dataset will be provided by me language Python Editor: Jupyter notebook

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    ...10am to 1 pm UK time on the module Communication Systems. I would like to ask if you could be able to help me during the exam time with some exercises that I am struggling and have an online call to explain things out. Summary of the module This module provides a broad background to electronic communications systems. This includes the underlying concepts of bandwidth using Fourier Series and a brief introduction to Fourier Transform. The module then covers the fundamental ideas used in the design of modern telecommunications systems and networks, emphasising how networks are evolving from analogue to digital PCM based structures, emphasising the ubiquity and value of the PCM technique. Further topics include SNR, SQNR, introduction to Nyquist’s theorem for noise free...

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    I have some sensor data and I need to apply Fast Fourier Transform FFT analysis using python.

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    Simple test android application to do spectrum-analyzer or simple processing short term Fourier transform any existing recognition technique to detect occurrence of Ting Sound i.e first beat of metronome in a small clip

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    ...transmitted simultaneously over free space over the characteristic HG modes, HG00 and HG01. Through the use of a continuous wave (CW) laser and a multimode generator, the unique spatial optical modes are created (MMG). Using a 4-QAM generator, a 20 Gbps data-carrying laser beam is created for each channel. An optical OFDM modulator is now used to modulate the signal, using 1024 inverse fast fourier transform (IFFT) points spread across 512 sub-carriers. A quadrature modulator (QM) is used for further modulation. The modulated signal and a 40 GHz RF pulse are combined after passing through the mixer. In a Mach-Zehnder modulator (MZM), the signal is optically modulated after which it is broadcast across several HG modes into the FSO channel. The signal is initially amplifi...

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    I have setupped everything and it's just some last steps to complete the project, you need to have good knowledge in Fourier optics Telecommunications engineering Gaussian modes and propagation Lenses

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    We use ESP32-S3 and sdcard with wav files. We need to implement Fast Fourier Transform (FFT) over .wav file, calculating spectrogram of the audio, energy or amplitude of the signal, mean value, and some other details that will be provided by chat. As input you will use the .wav sample I'll provide, reading it from SDcard. As development you will use the details I'll provide in pdf format. In order to validate the development, variables used in equations will be storage in array or vectors. Project will be donde in Virtual Studio Code and C++.

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    Look, I'll tell you, so that you pay attention please: They made us install an application on our cell phone that works like an Accelerometer, we opened the app, put the cell phone on the table, they put on a Queen song and we did the following. I show you on video what was done: In the end, ...show you on video what was done: In the end, a data file is generated in this way (attached file 'DATA'). With this you have to do the following: 1. Demonstrate with data that the cell phone did not move, based on the accelerometer data. With F=m*a. 2. What is the frequency between the beats of the song. Using fourier transform.

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    We use ESP32-S3 and sdcard with wav files. We need to implement Fast Fourier Transform (FFT) over .wav file, calculating spectrogram of the audio, energy or amplitude of the signal, mean value, and some other details. More details about the project development will be provided by chat.

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    MATLAB SOFTWARE REQUIRED. You must have experience in electrical and electronics engineering to bid on this gig. Inbox me for the link to the file. My budget is 130 USD, any bid above this will be rejected.

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    I have an assignment regarding science aerospace engineering, I have to Generate a signal consists of four sinusoidal signals summed together to generate one signal. Use Fourier Transform and power spectrum density to obtain the generated signal in the frequency domain, and then find the frequency and amplitude of each signal from the frequency domain. Comment on the frequency of the random signal. You Should Deliver the following: • Codes files. • Data files. • Report.

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    I have a code here which runs a DNN with 1D data and produces a fourier transform plot of the training: I want the exact same output as this code! But it needs to work for 2D simulated data. e.g. make a code which simulates random points and connects edges through an adjacency matrix. Find attached an image of training at the 8,500th epoch, comparing the GNN output and the true data in the fourier domain. Note that produces all plots, so maybe you don't need to change this code?? but maybe you do as it needs to work for 2d data not 1d.

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    Looking for a qualified & Experienced person who is an expert in harmonic estimation(magnitude and phase ) and Matlab. can do for my project. I would like to make a comparison between 3 methods which are 1) DFT (discrete Fourier transform), 2) ANN (Artificial neural network) 3)GWO (grey wolf optimization), using MATLAB code and the comparison between them is based on showing the effect of each of 1- sampling frequency, 2- number of sampling,3- noise level, 4- window size, 5- missing data, and 6- computation time. Also, I need the report, it should explain in general what the three methods used, and then a comparison should be made showing which methods are better, stronger, and more effective in the process of estimating harmonics. Please put a logical price that does not cha...

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    I have different shapes of sigmoid curves that I will provide you, and I would like to look into more details if there is any tendency by converting them with Fourier transform. Having the frequency domain with the curves, we can find/detect the peaks (first, second, to at least third or fourth on the frequency domain) to compare each curve and whether there is some behavior between the curves. The details are attached. Thanks. +) Auto-generated messages/proposals will be ignored.

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    Looking for a qualified & Experienced person who is an expert in harmonic estimation and Matlab. can do for my project. I would like to make a comparison between 3 methods which are 1) DFT (discrete Fourier transform), 2) ANN (Artificial neural network) 3)GWO (grey wolf optimization), and the comparison between them is based on showing the effect of each of 1- sampling frequency, 2- number of sampling,3- noise level, 4- window size, 5- missing data, and 6- computation time. Regarding the report that I need, it should explain in general what are the three methods used, and then a comparison is made showing which methods are better, stronger, and more effective in the process of estimating harmonics

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    I have different shape of sigmoid curves that I can give you all the raw data, and I would like to look into more details if there is any tendency by converting them with Fourier transform. Having the frequency domain with the curves, we can find/detect the peaks (first, second, to at least third or fourth) to compare each curve whether there is some behavior between the curves. The details are attached. Thanks.

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    ...shaft misalignment simulations. 4. Experience with sensors such as current, voltage (motor terminal), temperature (stator), vibration (starter frame), tachometer speed, torque (rotor) measurements. 5. Experience in physics based or model based approach for condition based monitoring of motor mechanical aspects. Should differentiate healthy and anomalous behavior using any methods such as Fast Fourier series analysis, eigen value based or signal processing. 6. Statistical or machine learning approaches for classification of healthy or anomalous behaviors of motor. Methods chosen here should compliment physics based methods. 7. Able to verify practical condition monitoring data with FEM based simulations. 8. Cloud based condition monitoring and big data processing is a plus Expect...

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    Need an expert in higher level Mathhs - specially in ODE/Fourier/Laplace. Preferably someone holding Masters

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    Need an expert in higher level Mathhs - specially in ODE/Fourier/Laplace. Preferably someone holding Masters

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    Frequency domain transforms are extensively used in signals and systems applications. This project involves a comparison of the direct implementation and FFT implementation of discrete Fourier transform (DFT). As indicated by the DFT equation below, for the DFT computation, the samples in a frame of length N are needed and not just a single sample. In other words, DFT/FFT computation occurs in a frame-based manner. In frame processing, N samples are captured first and then all of the N samples are needed to compute the DFT coefficients. The DFT equation describing the frequency transformation is given by: ?[?] = ∑ ?[?] ∗ ?? ?? ?−1 ?=0 , ? = 0,1, … , ? − 1 where WN=e-j2π/N. To compute a DFT term, N complex multiplications and N-1 complex additions are...

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    analyze the Fourier transform and inverse Fourier transform for a given signal using MATLAB/OCTAVE/SCILAB. Equation is provided , low pass filter .more details in chat.

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    Need a report written for analysis of a given signal to obtain and plot Fourier transform using MATLAB/Octave/SCILAB. Will need MATLAB code using time domain convolution, frequency domain multiplication and inverse Fourier transform. Further details will be shared with the selected freelancer. Need it done in 48 hours after the project is awarded. Freelancer with the most decent price quote will be preferred.

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    1. Dataset: DEAP dataset 2. Convert 1D EEG to 2D images Algorithm: using short time fourier transform (STFT) (output: spectrogram) 2. Classification using deep learning a. Inception Resnet-V2 (link: ) b. DenseNet121 modified (link: ) Notes: looking for someone who has worked on EEG or signal processing projects

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