lab dsp.pdf

Prepared By:- Nikhil Marriwala

Digital Signal Processing Lab


Digital Signal Processing Lab (New proposed Lab)

The following experiments to be performed using LabVIEW S/W &

Speedy33 H/W.

1. To study and perform Sampling and Quantization.

2. To generate different types of test signals.

3. To study and create a two-tone sine wave.

4. To study various Window types (Hanning, Hamming, Flat Top,

Blackman, Kaiser).

5. To study DFT and determine its response (DFT Coefficients and phase) for different type of signals.

6. To design FIR filter with different topology and to study its response.

7. To design IIR filter with different topology and to study its response.

8. To study different Digital Modulation techniques (ASK, PSK, FSK,

QPSK).

9. To study and perform the results convolution sum with a square, triangle and sinc data sequence.

10. To Perform FFT transform with different windowing functions and perform various spectral measurement (Magnitude, Power Spectral

Density and Power Spectrum).

11. To study and perform Laplace, Fourier and Z transform.

12. To design Fast Hilbert and Inverse Fast Hilbert Transform.

13. To acquire the audio signal and perform different operations (Windowing, filtering...) using DSP processor


Experiment 1: To Study and perform Sampling and Quantization

Front Panel

Block Diagram

This experiments takes various input signal like sine, cosine. And based on given sampling

information it samples the data. By using frequency and amplitude we can control the sampled

signal.

For quantization, it takes signal from signal generator and by using qnantizer block quantized the

data.

With the help of quantization interval block we can control the quantization steps.


Front Panel

Block Diagram


Experiment 2: To generate different types of test signals.

Front Panel

Block diagram This experiment uses the Frequency Sweep Generator Express VI and other Embedded Waveform VIs

to show the different types of signals the DSP target can generate.

While the example VI is running, you can adjust the following front panel controls:

Binomial Noise Trial Probability--Determines the percentage of noise the Embedded Binomial Noise

Waveform VI produces.

Frequency--Determines the frequency of the generated waveforms.


Experiment 3: To study and generate a two tone sine wave

Front Panel

Block diagram

This experiment shows how to create a two-tone sine wave by adding two generated sine waves together.

The waveform graphs on the front panel show the input waves and the combined wave. Change the

frequency and amplitude of each input wave by using the Tone One and Tone Two Frequency and

Amplitude slider controls. The DSP target generates both waves and performs the digital-to-analog

conversion.


Experiment 4: To study various Window types (Hanning, Hamming, Blackman, Flat-

Top, Kaiser) and its effect on a test signal.

Front Panel

Block Diagram

This experiment uses the Frequency Sweep Generator Express VI and different Windows VIs to show

different types of windowing filters. Windowing changes the shape of the signal in the time domain.

The DSP target generates a sweep waveform signal. The Windows VIs perform windowing on the

signal. The digital-to-analog converter (DAC) output channel on the DSP target generates the original

signal.

The DSP target runs the sweep generator, windowing algorithms, and analog output. You can observe

the effects of the different Windows VIs on the input signal on the front panel on the host computer.


Experiment 5: To study DFT and determine its response (DFT Coefficients and phase)

for different types of signals.

Front Panel

Block diagram

This experiments Filters an input signal using the Finite Impulse Response (FIR) filter design

technique. You can specify the type of the filter, such as low pass or band pass; filter topology,

such as Equi-ripple or Windowed FIR; and filter specifications, such as filter order or cutoff

frequency. You can feed a single channel or multiple channels to the Digital FIR Filter VI used in

this experiments.


Experiment 6: To design FIR Filter with different topology and to study its

response.

Front Panel

Block Diagram

This experiments Filters an input signal using the Finite Impulse Response (FIR) filter design technique.

You can specify the type of the filter, such as low pass or band pass; filter topology, such as Equi-

ripple or Windowed FIR; and filter specifications, such as filter order or cutoff frequency. You can feed

a single channel or multiple channels to the Digital FIR Filter VI used in this experiments


An example of LabVIEW program of designing a digital F|IR Filter is shown as follows.

Front Panel

Block Diagram


Experiment 7: To design FIR Filter with different topology and to study its response.

Front Panel

Block Diagram

This experiments Filters an input signal using the Infinite Impulse Response (IIR) filter design

technique. You can specify the type of filter, such as low pass or band pass; filter topology, such as

Butterworth or Chebyshev; and filter specifications, such as filter order or cutoff frequency. You can

feed a single channel or multiple channels to the Digital IIR Filter VI used in this experiments.


Experiment 8: To study different Digital Modulation techniques (ASK, PSK FSK,

QPSK).

Front Panel

Block Diagram

This experiments demonstrates generation of a phase-continuous ASK, PSK, FSK, QPSK modulated

signal using an arbitrary waveform generator and NI-FGEN. The experiments can generate ASK (same

for PSK, FSK, QPSK) formats such as 2-ASK, 8-ASK etc. The experiments applies a pulse-shaping filter

to the message signal, resamples the data to suit the timing specifications of the arb, and ensures

phase-continuity in the data.


Experiment 9: To study and perform the results convolution sum with a square,

triangle and sinc data sequence.

Block Diagram

This experiments shows the result of a convolution sum with a square, triangle, and sinc data

sequence. The graphs on the front panel display the original waves and the convolution of a sinc

pattern wave with a sinc wave, a triangle wave, and a square wave.

While the experiment is running, shift the h(n) sequence from left to right using the Shift h(n) slider

control on the front panel. The graphs of the resulting signals appear on the front panel.


Experiment 10: To perform FFT with different windowing and perform various

spectral measurement (Magnitude, PSD, Power Spectrum).

Front Panel

Block Diagram

This experiments computes the averaged power spectrum of a simulated input signal. This allows you

to specify various averaging modes for your measurement, such as RMS averaging, vector averaging,

or peak hold, as well as the number of averages. You can observe the influence of these averaging

parameters, typically on the noise floor, and notice that vector averaging requires the use of a trigger

in order to lower the noise floor without lowering the fundamental along with it. You also can specify

the type of window to use in this measurement, such as a Hanning or Flat Top window


Experiment 11: To study and perform Laplace, Fourier and Z transform.

Front Panel

Block Diagram

This experiments demonstrates how to recalculate a discrete transfer function (Z- Transform), Laplace

Transform with a slower sampling time.

It also calculates the Fourier and Lomb spectrum for signals evenly spaced or randomly spaced in time


Experiment 12: To design Fast Hilbert and Inverse Fast Hilbert transform.

Front Panel

Block Diagram

This experiments calculate Fast Hilbert and Inverse Fast Hilbert Transform of input signal, this

experiments also demonstrates how to detect echoes in a signal using the Hilbert Transform


Experiment 13: To acquire the audio signal and perform different operations

(Filtering, Windowing) and analysis using DSP processor.

Front Panel

Block Diagram

This experiments shows the on-board microphones of the DSP target acquiring a stereo acoustic signal.

The graphs on the front panel of the host computer display the data from the left input channel and

right input channel.

The DSP target acquires the analog input. On the front panel, you can see the waveform data from the

left and right input channels of the DSP target.


LabVIEW Based DSP Projects

Design Sound Recorder using LabVIEW and Speedy33 Design of FSK Modem

Acoustic Distance measurement

Noise cancellation for ECG signal by Notch filter

Voice Recognition for particular frequency

Etc..

lab dsp.pdf

Documents

nikhil marriwala experiment

study dft

different topology

panel block diagram

signal generator

different type of signals

different windowing

different operations