# Fft using jobs

Hi- This isn't a complicated job, but one I just don't have time for myself, so I need a bit of help in research and data mining for contacts. I'd like to hire someone who can compile a spreadsheet with website info and "contact" emails for any organization related to the following subjects who are located or are for the areas of "Arizona" "Southwest" ...

Please I wanna find some who can help me to finish this project as soon as possible, someone who is really expert with FPGA, Verilog HDL and Vivado.

I need an app code to be corrected. The app displays spectrogram but there is an error that it does not allow plotting bigger spectrograms.
I need to increase **FFT** length in Res/values/ arrays->
<string-array name="fft_len" translatable="false">
<item>@string/fft_len_name</item>
<item>512::512</item>
<item>1024::1...

Hello,
I'm interested in splitting the wideband signal into short channels, but I'm getting into a performance problem **using** PolyPhase Channelizer, which is part of GnuRadio for this purpose. I know that such operations (multiplication, working with vectors and floating-point numbers) fit well on gpgpu and fpga, which means that one single device

The work consists on reproducing this Matlab GUI in Java, I attach a Youtube l...Matlab GUI in Java, I attach a Youtube link where I explain the GUI. In summary the work is:
1. Visualizing the microphone signal
2. Record the microphone signal
3. Plot the **fft** of the microphone signal
Youtube link:
[url removed, login to view]

1) Write a function to implement N-point DFT. The function should have the following form: function X=myDFT(x,N), where x is the digital signal in time-domain, N is the numb...N), where x is the digital signal in time-domain, N is the number of points for DFT, and X is the frequency spectrum.
2) Test your function by comparing with the result of **fft**.

Hi Muhammad A., I noticed your profile and would like to offer you my project. We can discuss any details over [url removed, login to view] a function to implement N-point DFT. The func...X=myDFT(x,N), where x is the digital signal in time-domain, N is the number of points for DFT, and X is the frequency spectrum.
Test your function by comparing with the result of **fft**.

...'How To' guide for getting started with programming for the MDK, **using** Kotlin in Android studio. Beginning with installation of the Android Studio development environment.
- Assist another developer in building an app for processing and displaying data from a sensor built into the MDK. **FFT** and averaging will be required. It may be possible to use existing

Hello,
I'm interested in splitting the wideband signal into short channels, but I'm getting into a performance problem **using** PolyPhase Channelizer, which is part of GnuRadio for this purpose. I know that such operations (multiplication, working with vectors and floating-point numbers) fit well on gpgpu and fpga, which means that one single device can

...project which consists on the visualization of a microphone signal through the audio port. The works consists in improving the performance of this software and to implement the **fft** (fast fourier transform) to a .wav recorded file. I have the same project finished in Matlab (so Matlab programming experience is desirable) and the idea is to recreate the program

Poseo un proyecto a medias de la visualización de la señal de micrófono en JAVA. El trabajo consistirá en mejorar dicho p...proyecto a medias de la visualización de la señal de micrófono en JAVA. El trabajo consistirá en mejorar dicho programa puesto que tiene ciertas irregularidades y adquirir la **fft** de un archivo de audio grabado en ...

Discrete Time Signals & Systems Representation and analysis of discrete time signals and systems, Z-transform, DT Fourier transform, DFT, **FFT**, and difference equations. Emphasizes applications to communications, control and signal processing.

...multiple flac files from each sensor and convert into wav files for standard integrated visualizations (raw voltage time series, intensity vs. frequency, power spectrum analysis, **FFT**, autoregression, etc) with subsequent export for data analysis and granular visualization in Python (with Numpy, Matplotlib, and pymongo libraries) + R, and ultimately a light

Hello,
I need the implementation and simulation of the **FFT** (Fast Fourier transformer) of the following points: 8 points, 16 points, 32,64, 128, 512 points, 1024 and 2048 points, in VHDl the program must be synthesizable With xilinix ise design software
The results of the consumption slices must appear...

Vibration data colector to IoT.
Build a low cost system for data acquisition **using** a small computer (RPi or similar) + Analog digital converter board with 8-channel, 16-bit, and acceleration sensors.
Where it will be necessary to program the software for data acquisition and make it available in archives.
Some variables must be configurable, resolution

Labview programme to convert fast sampled DC voltage measured on an Agilent 34461 to AC RMS voltage for frequency range 0.1 Hz to 10 Hz. Display AC RMS on screen, also display **FFT** and THD.

I want to implement a 2-D **FFT** on an Xilinx FPGA board Artix 7 chip, it will be used for Radar signal processing.

ADAPTIVE MODULATION AND CODING
REQUIREMENTS:
*Bandwidth =20 MHz;
*Number of **FFT** NFFT=64;
*Number of Data subcarrier Nd = 48;
*Number of pilot Np =4;
*Guard Interval = ¼ of symbol period Ts;
*OFDM transmission: 52 (i.e Nd+Np)
*Pilot data interval = 13 sub-carriers, starting from the 6th;
*Indices of the pilot sub-carier = 6th, 19th, 32nd and

...signal processing coding **using** python and the functions/modules come with python such as scipy, numpy, matplotlib etc..
Although I am new to SW, I have started the code but I need a tutor that can guide me and show me how to do it, so the person need to have knowledge in;
-Python and all the modules
-Knows Fourier Transform, **FFT**, DFT, digital filter

...pseudo code. The paper is all related to computational complexity.
The table no.2 shows the computational requirement of all transforms, the RM and RA values of only DFT and **FFT** and for 2D-SDFT need to verify.
Now the requirement is we need to implement the paper according to the algorithm given, then the computational complexity .
By making some