Arun Prakash A Arunprakash-A

## pyscript.html
<head>
  <meta charset="utf-8" />
  <meta name="viewport" content="width=device-width,initial-scale=1" />
  <title>Bringing Python to Broswer!</title>
  <link rel="stylesheet" href="/css/main.css">
  <script defer src="https://pyscript.net/alpha/pyscript.js"></script>
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## iterVsLoss_sklearn_part1.py
# import required packages
import numpy as np
import seaborn as sns
from sklearn.datasets import make_classification
from sklearn.linear_model import Perceptron
from sklearn.metrics import hinge_loss

# create a linearly separable datapoints
x,y = make_classification(n_redundant=0,n_features=2,n_clusters_per_class=1)

## siggenCT.m
%--------------------Instructions----------------------------%
% 1.This file is to help you to code only the core part and act as just a template.
% 2.You can modify any line of the code as you wish
% 3.It is must to Comment on the dimenstion of all variables in the
%   code where and when necessary.
% 4. Give the proper names for the variables
% 5.Dont take screenshot of the screen  for the record submission
%---------------------End----------------------------------------%
  % % Coder: Your name goes here

## noiseReduction.m
% Matlab 2015 Code Template
clc;
clear all;
close all;
%load noisy speech
[noisy,Fs] = audioread('path to noisy.wav file');

% plot the noisy speech in time domain. xlabel: Time in seconds


## IIR_analog_Butter.m
% ************IIR Analog Butterworth Filter Design ******************%
%************* Author : Arun Prakash A ******************************%

clc;
clear all;
close all;
% Specifications
Wp=2*pi*100; % Passband cutoff in rad/s
Ws=2*pi*200; % stopband cutoff in rad/s
Fs=8000;  % Sampling Frequency

## FIRFIlterDesign.m
%**********************Designing of LP FIR Filter*************************%
%************Author : Arun Prakash A *******************************%
clc;
close all;
clear all;
n=7; % Order of the filter : change it to 71 and see what happens
w=0.5;
h_n=fir1(n,w);
[H,W]=freqz(h_n,1);
% window(:,1)=H;

## effectofwindow.m
% ************* Study the Effect of Windowing on FIlter Response************** %
% ************ Author : Arun Prakash A *************************************** %
clc;
clear all;
close all;
step = 0.001;
%Frequency Domain Spec
W=-pi:step:pi; % range of digital frequncy
Wc = -pi/2 : step : pi/2; % cutoff freq

## exp3_fft_sine.m
%% Computing FFT for Basic Signals and plot the spectra %%
%%   Author: A Arun Prakash Mail:a.arun283@gmail.com    %%
clc
close all;

%Generae sin signal of 10 Hz

Fs=1000; % Sampling Frequency > 2 * fmax , here fmax = 10
t=0:(1/Fs):1;
x=sin(2*pi*10*t);
	<head>
	<meta charset="utf-8" />
	<meta name="viewport" content="width=device-width,initial-scale=1" />
	<title>Bringing Python to Broswer!</title>
	<link rel="stylesheet" href="/css/main.css">
	<script defer src="https://pyscript.net/alpha/pyscript.js"></script>
	</head>
	# import required packages
	import numpy as np
	import seaborn as sns
	from sklearn.datasets import make_classification
	from sklearn.linear_model import Perceptron
	from sklearn.metrics import hinge_loss

	# create a linearly separable datapoints
	x,y = make_classification(n_redundant=0,n_features=2,n_clusters_per_class=1)
	%--------------------Instructions----------------------------%
	% 1.This file is to help you to code only the core part and act as just a template.
	% 2.You can modify any line of the code as you wish
	% 3.It is must to Comment on the dimenstion of all variables in the
	% code where and when necessary.
	% 4. Give the proper names for the variables
	% 5.Dont take screenshot of the screen for the record submission
	%---------------------End----------------------------------------%
	% % Coder: Your name goes here
	% Matlab 2015 Code Template
	clc;
	clear all;
	close all;
	%load noisy speech
	[noisy,Fs] = audioread('path to noisy.wav file');

	% plot the noisy speech in time domain. xlabel: Time in seconds
	% **********IIR Analog Butterworth Filter Design ****************%
	%*********** Author : Arun Prakash A ****************************%

	clc;
	clear all;
	close all;
	% Specifications
	Wp=2pi100; % Passband cutoff in rad/s
	Ws=2pi200; % stopband cutoff in rad/s
	Fs=8000; % Sampling Frequency
	%********************Designing of LP FIR Filter***********************%
	%**********Author : Arun Prakash A *****************************%
	clc;
	close all;
	clear all;
	n=7; % Order of the filter : change it to 71 and see what happens
	w=0.5;
	h_n=fir1(n,w);
	[H,W]=freqz(h_n,1);
	% window(:,1)=H;
	% *********** Study the Effect of Windowing on FIlter Response************ %
	% ********** Author : Arun Prakash A ************************************* %
	clc;
	clear all;
	close all;
	step = 0.001;
	%Frequency Domain Spec
	W=-pi:step:pi; % range of digital frequncy
	Wc = -pi/2 : step : pi/2; % cutoff freq
	%% Computing FFT for Basic Signals and plot the spectra %%
	%% Author: A Arun Prakash Mail:a.arun283@gmail.com %%
	clc
	close all;

	%Generae sin signal of 10 Hz

	Fs=1000; % Sampling Frequency > 2 * fmax , here fmax = 10
	t=0:(1/Fs):1;
	x=sin(2pi10*t);