Exercises of Coding Ninjas Java DSA tree linked-list stack graph priority-queue recursion backtracking huffman-coding hashmap binary-tree dynamic-programming queues tries prims-algorithm binarysearchtree kruskals-algorithm timecomplexity oops-in-java spacecomplexity djikstra-algorithm Updated Dec 24, 2023...
In this paper, a RDHEI based on time-varying Huffman coding table (TV-HCT) method is proposed to improve the security, embedding rate (ER) and efficiency. First, the initial HCT is generated according to the prediction errors of an image, which can improve compression performance. And then...
complexity: The number of equivalent gates in a circuit. Cu-low k: Description of advanced IC metallization that is composed of thin films of copper separated by a very low dielectric constant medium. current, forward: The net current that flows across the forward-biased pn junction. CVD: Che...
Merge Sort Algorithm is considered as one of the best sorting algorithms having a worst case and best case time complexity of O(N*Log(N)), this is the reason that generally we prefer to merge sort over quicksort as quick sort does have a worst-case time complexity of O(N*N)...
This project is a clear implementation of Huffman coding, suitable as a reference for educational purposes. It is provided separately in Java, Python, C++, and is open source. The code can be used for study, and as a solid basis for modification and extension. Consequently, the codebase opt...
To this end, Huffman coding is used for compression to achieve a lossless and asymmetric encryption. According to this structure, a private key is generated for each individual using the features extracted from the fingerprint image. The length of the passkey increases considering the number of ...
To make more precise scheduling decisions, we first propose a new image complexity assessment model to replace the existing normalized edge density metric. Then, we formulate the scheduling problem with the objective of maximizing inference accuracy under the given latency constraint, and introduce an ...
INTRODUCTION Hardware acceleration of deep neural networks (DNNs) is becoming commonplace as the computational complexity of DNN models has grown. Compared to general-purpose CPUs, accelerators reduce both cost and latency for training and serving leading-edge models. Fortunately, the high level of ...
Run-level Huffman coding is a reasonable approach to achieve it, in which R and L are combined into a 2-D array (R,L) and Huffman-coded. When transform coding at low bit rates, a large number of the transform coefficients tend to be quantized to zero to achieve a high compression ...
Since Variable Length Coding (VLC, for example, Huffman coding)is usually used to exploit the statistical redundancy among symbols to be transmitted, a single bit error can lead to many following information bits being undecodable, hence useless, until the next synchronization symbol. Therefore, a...