Viterbi algorithm

Figure 3.6 Waveforms of the QPSK mapping. 3.1.4 Subcarrier Allocation There are three reasons for outlining the "Subcarrier Allocation" square. The principal is to apportion the information and pilot subcarriers, the second is to embed invalid subcarriers which conveys "zero" data, and the third is to execute the FFT shift. After this square, 64 inputs for IFFT are readied. The execution module is portrayed in Figure 3.7. Two 64 x 16 double port irregular access recollections (RAMs) are utilized

reduce the internal workload to fully understand the benefits. “Random space perturbation (RASP) processing” method provides security and various query processing services to provide confidentiality in the cloud. The (K-Nearest Neighbour) KNN-R algorithm is used here to convert the range query to the KNN query. Users have been certified by using the randomly generated key value provided by the administrator subsequent to successful registration by the client thus maintaining privacy. Queries from

2.2. RELATED WORK 2. 2.1. SECURE k-NEAREST NEIGHBOR TECHNIQUES Retrieving the k-Nearest Neighbors to a given query (q) is one of the most fundamental problems in many application domains such as similarity search, pattern recognition, and data mining. In the literature, many techniques have been proposed to address the SkNN problem, which can be classified into two categories based on whether the data are encrypted or not: centralized and distributed. Centralized Methods: In the centralized methods

marked the beginning of a serious passion and engagement with technology as a discipline and a field of learning. The exciting and appealing graphics of the best virtual reality games became less significant than the design, the techniques, the algorithms and the concepts that enabled those compelling features. As an undergraduate student of Information Science and Engineering, a barrage of questions from me were a given at the end of lessons. In the Data Structures Lab, I was the most interactive

memory elements for both soft and hard decision decoding. The basic concepts associated with the convolution code with its encoding and decoding schemes are used in this project. Using Shannon’s optimal code we compare the gap to capacity of the algorithm that is implemented. Finally we show that the gap – to capacity can be minimized with respect to the sub optimal un-coded code word or a 1/3 repetition code. INTRODUCTION For a given code rate constraint of R= 1/3, a binary input AWGN channel this

4.2 Implementation Details 4.2.1 Data Source Random Bernoulli generator generates binary data on a per frame basis. In data output, 144 samples per frame are used, and data rate is 36 Mbps. Figure 4.2: Data Source 4.2.2 Forward Error Correction Coding A typical problem in OFDM based systems is a high Peak-to-Average Power Ratio (PAPR). The available RF power amplifiers usually have a limited linear dynamic range. This is not a problem for constant amplitude signals, however, in OFDM, due to IFFT

DNA Sequencing: Algorithms that Convert Physical to Digital EFFECTS: DNA sequencing, specifically with small “nanopore” sequencers, have the potential to advance medicine by increasing scientific knowledge of diseases and improving medical diagnosis in remote areas. The leading sequencer today is the MinION, which is an incredible 10x3x2cm and only requires a USB connection to a computer [5]. The MinION currently can sequence viral and bacterial genomes, but will expand to include full human genomes

Mel cepstral feature extraction technique is required in some or the other form in most of the latest speech and speaker recognition system. Here, first samples of speech are splitted into overlapping frames. Generally the length of frame is 25 ms and frame rate is 10 ms. Each and every frames are refined by pre-emphasis filter which amplifies higher frequencies. Next is to apply windowing so that Fourier spectrum for each windowing frame is achieved here Hamming window is used. To obtain vector

Human Factors in Airport Security Prepared For: Dr. Suzanne M. Dawes ISE Department USC Viterbi School of Engineering Prepared By: Raghav Lakhotia ISE 370 Fall 2014 12/16/2014 Table of Contents Page 1. Introduction 3 2. X-Ray Images 4 3. Screening Enhancements 6 4. Screener Selection and Training 8 5. TIP and

they utilized RA codes to handle erasures. Insertions and erasures can be also handled by convolutional codes as in [4]. The authors used convolutional codes at embedder. However, the burden is placed on the decoder. Multiple parallel Viterbi decoders are used to correct de-synchronization errors. However, it is observed [4] that such a scheme is successful when the number of selected host signal samples is much less than the total number of host signal samples. In [5], 3-D DWT domain