ACOUSTICS & DSP FFT & WAVELETS RESEARCH

Design and performance analysis of terahertz integrated sensing and communication waveform based on OFDM

Abstract: Focusing on current Orthogonal Frequency Division Multiplexing(OFDM) communication systems, the integrated waveforms study is conducted based on two-Dimensional Fast Fourier Transform(2D-FFT). The sensing characteristics of THz OFDM waveforms are…Read moreDesign and performance analysis of terahertz integrated sensing and communication waveform based on OFDM

ACOUSTICS & DSP FFT & WAVELETS RESEARCH

error: can’t open file obj_double_intel/fftw.o for write

lsblas95 fftw2x_cdft fftw3xc fftw3xf mklmpifftw2xc fftw2xf fftw3x_cdft lapack95[spriha@centosvm interfaces]$ cd fftw2xc[spriha@centosvm fftw2xc]$ make libintel64make -f makefile lib _IA=intel64make[1]: Entering directory ‘/opt/intel/oneapi/mkl/2021.3.0/interfaces/fftw2xc’mkdir -p obj_double_intelicc -Wall -Werror -c \-DMKL_DOUBLE -I/opt/intel/oneapi/mkl/2021.3.0/include -I/opt/intel/oneapi/mkl/2021.3.0/include/fftw \/opt/intel/oneapi/mkl/2021.3.0/interfaces/fftw2xc/wrappers/fftw.c…Read moreerror: can’t open file obj_double_intel/fftw.o for write

ACOUSTICS & DSP DATA MANAGEMENT FFT & WAVELETS RESEARCH

python – Pandas not running in Jupyter Notebook, Not letting me do a conda update

When I tried to import pandas as pd this happened /opt/anaconda3/lib/python3.8/site-packages/pandas/core/computation/expressions.py:20: UserWarning: Pandas requires version ‘2.7.3’ or newer of ‘numexpr’ (version ‘2.7.1’ currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED Then I…Read morepython – Pandas not running in Jupyter Notebook, Not letting me do a conda update

ACOUSTICS & DSP DATA MANAGEMENT FFT & WAVELETS RESEARCH

a kernel-based subspace estimator for frequency super-resolution at quasi-linear time complexity

We introduce two FFT-based ESPRIT algorithms for line spectral estimation which have lower time complexities than the original ESPRIT algorithm’s O(N^3). The preferred method, named FFT-ESPRIT, can be characterized as…Read morea kernel-based subspace estimator for frequency super-resolution at quasi-linear time complexity

ACOUSTICS & DSP FFT & WAVELETS RESEARCH

Debian — File list of package supercollider-server/bullseye/i386

/usr/bin/scsynth /usr/lib/SuperCollider/plugins/BinaryOpUGens.so /usr/lib/SuperCollider/plugins/ChaosUGens.so /usr/lib/SuperCollider/plugins/DelayUGens.so /usr/lib/SuperCollider/plugins/DemandUGens.so /usr/lib/SuperCollider/plugins/DiskIO_UGens.so /usr/lib/SuperCollider/plugins/DynNoiseUGens.so /usr/lib/SuperCollider/plugins/FFT_UGens.so /usr/lib/SuperCollider/plugins/FilterUGens.so /usr/lib/SuperCollider/plugins/GendynUGens.so /usr/lib/SuperCollider/plugins/GrainUGens.so /usr/lib/SuperCollider/plugins/IOUGens.so /usr/lib/SuperCollider/plugins/LFUGens.so /usr/lib/SuperCollider/plugins/ML_UGens.so /usr/lib/SuperCollider/plugins/MulAddUGens.so /usr/lib/SuperCollider/plugins/NoiseUGens.so /usr/lib/SuperCollider/plugins/OscUGens.so /usr/lib/SuperCollider/plugins/PV_ThirdParty.so /usr/lib/SuperCollider/plugins/PanUGens.so /usr/lib/SuperCollider/plugins/PhysicalModelingUGens.so /usr/lib/SuperCollider/plugins/ReverbUGens.so /usr/lib/SuperCollider/plugins/TestUGens.so /usr/lib/SuperCollider/plugins/TriggerUGens.so /usr/lib/SuperCollider/plugins/UIUGens.so /usr/lib/SuperCollider/plugins/UnaryOpUGens.so /usr/lib/SuperCollider/plugins/UnpackFFTUGens.so /usr/share/doc/supercollider-server/README.md.gz /usr/share/doc/supercollider-server/README_LINUX.md.gz /usr/share/doc/supercollider-server/changelog.Debian.gz /usr/share/doc/supercollider-server/changelog.gz…Read moreDebian — File list of package supercollider-server/bullseye/i386

ACOUSTICS & DSP FFT & WAVELETS RESEARCH

1. Generate a sine wave with frequency 100 Hz. a. Sample the signal with a sampling…

clc;clear;Fs = 1000;f = 100;Td = 1/Fs;t = 0:Td:1/f;Am = 1;v = Am*sin(2*pi*100*t);N = length(v);subplot(2,2,1)stem(t,v)grid ontitle ‘with Fs = 1000’xlabel ‘Time’ylabel ‘Amplitude’ del_f = (-Fs/2):(Fs/(N-1)):(Fs/2);X = fftshift(fft(v)/N);subplot(2,2,2)plot(del_f,abs(X))grid on;xlabel ‘Freq’ylabel ‘Amplitude’…Read more1. Generate a sine wave with frequency 100 Hz.
a. Sample the signal with a sampling…