×

Close

Type:
**Note**Institute:
**
Jawaharlal nehru technological university anantapur college of engineering
**Offline Downloads:
**167**Views:
**2514**Uploaded:
**10 months ago**Add to Favourite

Touch here to read

Page-1

Topic:

LECTURE NOTES
ON
DIGITAL SIGNAL PROCESSING
III B.Tech II semester (JNTUH-R13)
ELECRTONICS AND COMMUNICATION ENGINEERING
1

DIGITAL SIGNAL PROCESSING
UNIT-1
A signal is defined as any physical quantity that varies with time, space or another
independent variable.
A system is defined as a physical device that performs an operation on a signal.
System is characterized by the type of operation that performs on the signal. Such
operations are referred to as signal processing.
Advantages of DSP
1. A digital programmable system allows flexibility in reconfi
reconfiguring
guring the digital
signal processing operations by changing the program. In analog redesign of hardware is
required.
2. In digital accuracy depends on word length, floating Vs fixed point arithmetic etc.
In analog depends on components.
3. Can be stored on disk.
4. It is very difficult to perform precise mathematical operations on signals in analog
form but these operations can be routinely implemented on a digital computer using
software.
5. Cheaper to implement.
6. Small size.
7. Several filters need several boards in analog, whereas in digital same DSP
processor is used for many filters.
Disadvantages of DSP
1. When analog signal is changing very fast, it is difficult to convert digital form
.(beyond 100KHz range)
2. w=1/2 Sampling rate.
3. Finite word length problems.
4. When the signal is weak, within a few tenths of millivolts, we cannot amplify the
signal after it is digitized.
5. DSP hardware is more expensive than general purpose microprocessors & micro
controllers.
2
1

6. Dedicated DSP can do better than general purpose DSP.
Applications of DSP
1. Filtering.
2. Speech synthesis in which white noise (all frequency components present to the
same level) is filtered on a selective frequency basis in order to get an audio signal.
3. Speech compression and expansion for use in radio voice communication.
4. Speech recognition.
5. Signal analysis.
6. Image processing: filtering, edge effects, enhancement.
7. PCM used in telephone communication.
8. High speed MODEM data communication using pulse modulation systems such as
FSK, QAM etc. MODEM transmits high speed (1200-19200 bits per second) over a
band limited (3-4 KHz) analog telephone wire line.
9. Wave form generation.
Classification of Signals
I.
Based on Variables:
1.
f(t)=5t : single variable
2.
f(x,y)=2x+3y : two variables
3.
S1= A Sin(wt) : real valued signal
4.
S2 = A ejwt : A Cos(wt)+j A Sin(wt) : Complex valued signal
5.
S4(t)= S 2(t) : Multichannel signal
S1(t)
S3(t)
Ex: due to earth quake, ground acceleration recorder
Ir(x, y, t)
6.
II.
I(x,y,t)= Ig(x, y, t) multidimensional
Ib(x, y, t)
Based on Representation:
3
2

III.
Based on duration.
1.
right sided: x(n)=0 for n<N
2.
left sided :x(n)=0 for n>N
3.
causal : x(n)=0 for n<0
4.
Anti causal : x(n)=0 for n ≥ 0
5.
Non causal : x(n)=0 for n >N
IV.
1.
Based on the Shape.
δ (n)=0
=1
n=0
2. u (n) =1
n≥ 0
=0
n≠ 0
n<0
Arbitrary sequence can be represented as a sum of scaled, delayed impulses.
4
3

## Leave your Comments