Skip to main content

Delta Modulation & Demodulation



Delta Modulation & Demodulation Technique



Another name for delta modulation is a 1-bit quantizer. As a result, compared to PCM or DPCM, less bandwidth is needed here.


We know that bandwidth (BW),


BW = nfs/2 .........(1)




Where n = number of bits per sample


          fs = Frequency of Sampling





To avoid the cause of under-sampling, fs cannot be decreased in the above equation 1 to decrease bandwidth (BW). To retrieve the intended signal at the receiver side, we must keep our sample frequency at least two times the frequency of the message signal.



Alternatively, fs > 2fm



In this case, fm stands for message signal frequency, which is often the highest frequency available in message transmission.




However, in delta modulation, the bandwidth will be reduced to the smallest amount feasible by picking the lowest possible value of n, i.e. 1 bit/sample.


Assume that Rb = nfs is the data rate.


As a result, Rb = fs (if n=1 bit/sample)


So, in the delta modulation scheme, we can say,



Bit rate = Pulse rate = Sampling rate



Because we're only allocating 1 bit/sample, the number of levels is L = 2^(1) = 2. In general, the highest level is represented by '+∆', while the lowest level is represented by '-∆'. From the quantizer value we decide whether the sampling bit is '1' or '0'.










In delta modulation, we actually accomplish the following:



We compare the current sample value to the prior sample value in this modulation. When the difference (also known as "error") value exceeds the threshold value, the value is detected as "1." In the same way, if it goes below the threshold value, it will be '0'.







Diagram:











                                                                       Fig: Delta Modulation



Here, the input of the quantizer,


e(nTs) = m(nTs) – m^(nTs)


Where, m(nTs) = current sample

m^(nTs) = previous sample

The difference between the current sample value and the previous sample value (or, e(nTs)) is the quantizer's input. The modulated signal is represented as bit '1' if the difference value is greater than the threshold value (say, 0 Volt); otherwise, it is represented as bit '0'.


With the use of diagrams, we'll now discuss delta modulation (DM) and demodulation at the receiver side.



Delta Demodulation


Assume there are two levels (due to the one-bit quantizer) or that the quantizer step value is '+∆' and '–∆' on the negative side. '+∆' indicates a higher level, whereas '-∆' indicates a lower level.


Take a look at the quantizer diagram below. If the difference (or error value) between the current sample value and the prior sample value exceeds the threshold value, the sample will be converted to bit '1' (For your convenience, let's say, the threshold is 0 Volt). If the above-mentioned difference value is between 0 and + ∆ Volt, we convert it to bit '1'. Similarly, we translate to bit '0'  for values between 0 and - ∆ Volt.




Diagram of DM Quantizer:








DM Encoder:









DM Decoder at receiver side:








In decoding process, at t=0, sample value = 0

At, t = Ts, sample value = 0+∆ = +∆

      t = 2Ts, sample value = +∆ +∆ = +2∆

      t = 3Ts, sample value = +2∆ +∆ = +3∆

      t = 4Ts, sample value = +3∆ -∆ = +2∆

      t = 5Ts, sample value = +2∆ -∆ = +∆


Whenever the signal reaches the receiver it was 0, at t=0 & t< Ts; At t=Ts, we receive +∆. Now, the summation of the present sample value and previous sample value (which is '0' at the start) equals 0 +∆= +∆; At t=2Ts,  the sum of the current sample value and previous sample value = +∆ +∆ = +2∆ and so on (as shown in the above chart).

MATLAB Code for Delta Modulation and Demodulation

 
 
 

 
                                                                 (Get MATLAB Code)




People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *

Popular Posts

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...

📘 Overview of BER and SNR 🧮 Online Simulator for BER calculation of m-ary QAM and m-ary PSK 🧮 MATLAB Code for BER calculation of M-ary QAM, M-ary PSK, QPSK, BPSK, ... 📚 Further Reading 📂 View Other Topics on M-ary QAM, M-ary PSK, QPSK ... 🧮 Online Simulator for Constellation Diagram of m-ary QAM 🧮 Online Simulator for Constellation Diagram of m-ary PSK 🧮 MATLAB Code for BER calculation of ASK, FSK, and PSK 🧮 MATLAB Code for BER calculation of Alamouti Scheme 🧮 Different approaches to calculate BER vs SNR What is Bit Error Rate (BER)? The abbreviation BER stands for Bit Error Rate, which indicates how many corrupted bits are received (after the demodulation process) compared to the total number of bits sent in a communication process. BER = (number of bits received in error) / (total number of tran...

Theoretical BER vs SNR for binary ASK, FSK, and PSK

📘 Overview & Theory 🧮 MATLAB Codes 📚 Further Reading Theoretical BER vs SNR for Amplitude Shift Keying (ASK) The theoretical Bit Error Rate (BER) for binary ASK depends on how binary bits are mapped to signal amplitudes. For typical cases: If bits are mapped to 1 and -1, the BER is: BER = Q(√(2 × SNR)) If bits are mapped to 0 and 1, the BER becomes: BER = Q(√(SNR / 2)) Where: Q(x) is the Q-function: Q(x) = 0.5 × erfc(x / √2) SNR : Signal-to-Noise Ratio N₀ : Noise Power Spectral Density Understanding the Q-Function and BER for ASK Bit '0' transmits noise only Bit '1' transmits signal (1 + noise) Receiver decision threshold is 0.5 BER is given by: P b = Q(0.5 / σ) , where σ = √(N₀ / 2) Using SNR = (0.5)² / N₀, we get: BER = Q(√(SNR / 2)) Theoretical BER vs ...

Comparisons among ASK, PSK, and FSK | And the definitions of each

📘 Comparisons among ASK, FSK, and PSK 🧮 Online Simulator for calculating Bandwidth of ASK, FSK, and PSK 🧮 MATLAB Code for BER vs. SNR Analysis of ASK, FSK, and PSK 📚 Further Reading 📂 View Other Topics on Comparisons among ASK, PSK, and FSK ... 🧮 Comparisons of Noise Sensitivity, Bandwidth, Complexity, etc. 🧮 MATLAB Code for Constellation Diagrams of ASK, FSK, and PSK 🧮 Online Simulator for ASK, FSK, and PSK Generation 🧮 Online Simulator for ASK, FSK, and PSK Constellation 🧮 Some Questions and Answers Modulation ASK, FSK & PSK Constellation MATLAB Simulink MATLAB Code Comparisons among ASK, PSK, and FSK    Comparisons among ASK, PSK, and FSK Comparison among ASK, FSK, and PSK Parameters ASK FSK PSK Variable Characteristics Amplitude Frequency ...

Constellation Diagrams of ASK, PSK, and FSK

📘 Overview of Energy per Bit (Eb / N0) 🧮 Online Simulator for constellation diagrams of ASK, FSK, and PSK 🧮 Theory behind Constellation Diagrams of ASK, FSK, and PSK 🧮 MATLAB Codes for Constellation Diagrams of ASK, FSK, and PSK 📚 Further Reading 📂 Other Topics on Constellation Diagrams of ASK, PSK, and FSK ... 🧮 Simulator for constellation diagrams of m-ary PSK 🧮 Simulator for constellation diagrams of m-ary QAM BASK (Binary ASK) Modulation: Transmits one of two signals: 0 or -√Eb, where Eb​ is the energy per bit. These signals represent binary 0 and 1.    BFSK (Binary FSK) Modulation: Transmits one of two signals: +√Eb​ ( On the y-axis, the phase shift of 90 degrees with respect to the x-axis, which is also termed phase offset ) or √Eb (on x-axis), where Eb​ is the energy per bit. These signals represent binary 0 and 1.  BPSK (Binary PSK) Modulation: Transmits one of two signals...

UGC NET Electronic Science Previous Year Question Papers

Home / Engineering & Other Exams / UGC NET 2022: Previous Year Question Papers ... UGC-NET (Electronics Science, Subject code: 88) UGC Net Electronic Science Question Paper With Answer Key Download Pdf [December 2024] UGC Net Electronic Science Question Paper With Answer Key Download Pdf [June 2024] UGC Net Electronic Science Question Paper With Answer Key Download Pdf [December 2023] UGC Net Electronic Science Question Paper With Answer Key Download Pdf [June 2023] UGC Net Electronic Science Question Paper With Answer Key Download Pdf [December 2022] UGC Net Electronic Science Question Paper With Answer Key Download Pdf [June 2022] UGC Net Electronic Science Question Paper With Answer Key Download Pdf [December 2021] UGC Net Electronic Science Question With Answer Key Download Pdf [June 2020] UGC Net Electronic Science Question With Answer Key Download Pdf [December 2019] UGC Net Elec...

Theoretical vs. simulated BER vs. SNR for ASK, FSK, and PSK

📘 Overview 🧮 Simulator for calculating BER 🧮 MATLAB Codes for calculating theoretical BER 🧮 MATLAB Codes for calculating simulated BER 📚 Further Reading BER vs. SNR denotes how many bits in error are received for a given signal-to-noise ratio, typically measured in dB. Common noise types in wireless systems: 1. Additive White Gaussian Noise (AWGN) 2. Rayleigh Fading AWGN adds random noise; Rayleigh fading attenuates the signal variably. A good SNR helps reduce these effects. Simulator for calculating BER vs SNR for binary ASK, FSK, and PSK Calculate BER for Binary ASK Modulation Enter SNR (dB): Calculate BER Calculate BER for Binary FSK Modulation Enter SNR (dB): Calculate BER Calculate BER for Binary PSK Modulation Enter SNR (dB): Calculate BER BER vs. SNR Curves MATLAB Code for Theoretical BER % The code is written by SalimWireless.Com clc; clear; close all; % SNR v...

Relationship between Gaussian and Rayleigh distributions

📘 Introduction, Gaussian Distribution, Relationship Between Gaussian and Rayleigh Distribution 🧮 How to mitigate Rayleigh fading? 🧮 Equalizer to reduce Rayleigh Fading (or Multi-path Effects) in MATLAB 🧮 MATLAB Code for Effects of AWGN and Rayleigh Fading in Wireless Communication 🧮 Simulator for the effect of AWGN and Rayleigh Fading on a BPSK Signal 📚 Further Reading Wireless Signal Processing Gaussian and Rayleigh distributions ...   The Rayleigh distribution in classical fading models (like wireless communication) arises from modeling the real and imaginary parts of a complex baseband signal as independent, zero-mean Gaussian random variables — under specific assumptions . 1. Gaussian Distribution  The Gaussian distribution has a lot of applications in wireless communication. Since noise in wireless communication systems is unpredictable, we frequently assume that it has a Gaussian distribution...

Coherence Bandwidth and Coherence Time

🧮 Coherence Bandwidth 🧮 Coherence Time 🧮 MATLAB Code s 📚 Further Reading For Doppler Delay or Multi-path Delay Coherence time T coh ∝ 1 / v max (For slow fading, coherence time T coh is greater than the signaling interval.) Coherence bandwidth W coh ∝ 1 / Ï„ max (For frequency-flat fading, coherence bandwidth W coh is greater than the signaling bandwidth.) Where: T coh = coherence time W coh = coherence bandwidth v max = maximum Doppler frequency (or maximum Doppler shift) Ï„ max = maximum excess delay (maximum time delay spread) Notes: The notation v max −1 and Ï„ max −1 indicate inverse proportionality. Doppler spread refers to the range of frequency shifts caused by relative motion, determining T coh . Delay spread (or multipath delay spread) determines W coh . Frequency-flat fading occurs when W coh is greater than the signaling bandwidth. Coherence Bandwidth Coherence bandwidth is...