Fast Fourier transform

Coursework - part1 Name of student Abdalfettah Asharaa UoB number 14022053 File number 3 Test data a Number of signals 4 f v t Signal 1 72 1 0 Signal 2 281 9 2 Signal 3 456 6 3 491 10 1 Test data b Number of signals 5 f v t cos or exp? Signal 1 44 7 3 cos Signal 2 299 4 5 cos Signal 3 338 14 6 cos Signal 4 55 10 - exp Signal 5 571 9 - exp Test data c i) Enter your numerical answers in the boxes below f v t Signal 1 348 13 4 Signal 2 397 11 2.87 ≈ 3 Signal 3 491 3 5.84 ≈ 6 ii)

FOURIER SERIES AND ITS SOME APPLICATIONS P. Sathyabama Assistant professor, Department of Mathematics, Bharath collage of science and management, Thanjavur- 5 Abstract The Fourier Series, the founding principle behind the field of Fourier Analysis, is an infinite expansion of a function in terms of sines and cosines.In physics and engineering,expanding functions in terms of sines and cosines is useful because it allows one to more easily manipulate functions.In particular, the fields of electronics

distance can be calculated using equation 5. 〖SD〗^((t))=20 log_10⁡〖ᴧ^t 〗- log‖W_j^((i)) ‖,where 0< m < M-1. After the windowing technique followed by the Fast Fourier transforms (FFT) frequency domain signal is achieved. Let the input windowed signals in the ith frame be represented as w_0^((i)),w_1^((i)),…….,w_(M-1)^((i))and Fourier transform is given by: w_k^((i) )= ∑_(k=0)^(M-1)▒w_n^((i) ) e^(-i2πk

upon the intensity of light scattered. Two milliliter sample volumes from each nanosilver dispersion were loaded into glass cuvettes and summary statistics were obtained using triplicate 2 minutes analyses (total analysis time=6minutes). For Fourier transform

Edge Detection in Frequency Domain A comparison between different Filtering techniques in Time and Frequncy Domain Adithya R H Department of Electronics and Communication Sri Jayachamarajendra College of Engineering Mysore, Karnataka, India rhadithya@gmail.com Akash Sharma Department of Electronics and Communication Sri Jayachamarajendra College of Engineering Mysore, Karnataka, India akashshrm02@gmail.com Abstract—This paper presents a comprehensive comparison of different high pass filtering

FFT is very well developed in software but still a need to study on realizing it on hardware subsists. Its primary advantage is the fact that the hardware implementation of FFT generally has more than one computations running in parallel, while in the software implementation a single step is processed at once. Therefore, a FFT hardware can have large amount of data running through the circuit in comparison to those of sequential circuits as realized by software. 16-Point FFT Implementation: A typical

A MAJOR PROJECT REPORT ON CONTROLLING ROBOT WITH SPEECH RECOGNITION SUBMITTED IN PARTIAL FULFILLMENT OF THE DEGREE BACHELOR IN TECHNOLOGY OF ELECTRONICS AND COMMUNICATION ENGINEERING Submitted By: Under the Supervision of HITESH MATHUR (9911102230) MR. AMIT SINGHAL ASHISH GOEL (9911102194) AYUSH GUPTA (9911102229) DEPARTMENT OF ECE JAYPEE INSTITUTE OF INFORMATION TECHNOLOGY, NOIDA (U.P) June , 2015 CERTIFICATE

This program records the voice 'Get ready to record the voice ' %Read data of letter "a" sound f1=wavread( 'vc_a ',22050); %Transform the data using Fast Fourier Transform function F1=fft(f1,11025); %Compute to obtain the Normalized Power Spectrum Density of the %transformed data Pf1 = F1.* conj(F1)/11025; Pf1 = transpose(Pf1); %Transpose Pf1 = Pf1(1:2206); %Only the first 2206 sample data needed f2=wavread( 'vc_a2 ',22050); F2=fft(f2,11025); Pf2 = F2.* conj(F2)/11025; Pf2 =

Multicarrier modulation is a technique of transmitting data over several subchannels instead of transmitting the data over the whole bandwidth in single carrier systems. The data stream to be transmitted is divided into a number of lower data rate data streams. The subchannels have narrow bandwidth compared to wideband channel in single carrier systems and also the symbol period on each subchannel is increased. Multicarrier modulation provides immunity to fading caused by data transmission over

OFDM is a great technique to handle impairments of wireless communication channels such as multipath propagation. Hence, OFDM is a practical candidate for future 4G wireless communications techniques [1]-[4]. On the other hand, one of the major drawbacks of the OFDM communication system is the drift in reference carrier. The offset present in received carrier will lose orthogonality among the carriers. Hence, the CFO causes a reduction of desired signal amplitude in the output decision variable and