In order to achieve high performance, optimization is carried out in following aspects: (1) Reduction of the computation complexity of real DFT. (2) Implementation of high performance 1D complex DFT algorithm to support real DFT. (3) For the 2D real DFT, we propose a cache-aware blocking ...
The main data structure inNumCppis theNdArray. It is inherently a 2D array class, with 1D arrays being implemented as 1xN arrays. There is also aDataCubeclass that is provided as a convenience container for storing an array of 2DNdArrays, but it has limited usefulness past a simple conta...
: Array<Material> | Material, near : Number = 0, far : Number = Infinity ) : Array<RaycastHit> Returns all raycast triangle hits in unsorted order. It is expected that ray is in the frame of the BVH already. Likewise the returned results are also provided in the local frame of the ...
To improve the computing capability of mobile terminals, the study of the mobile algorithm specific neural network accelerator is carried out in terms of hardware architecture, on-chip memory, performance and power consumption. A real-time multi-face detection accelerator system is simulated and ...
We review and simplify several classical and quantum maps introduced in recent years that have been used in cryptography. For each of these maps, a bitstre
This chapter describes the VLSI implementation of a flexible motion estimation (ME) accelerator for low-power portable video real-time encoding applications. For low-power motion estimation the main...Peter KuhnTechnical University of MunichSpringer US...
C Pun,S Chan,K Ho - International Conference on Image Processing 被引量: 14发表: 2001年 FPGA BASED IMPLEMENTATION OF A MULTIPLIER-LESS FIR FILTER FOR ECG SIGNAL PROCESSING This research work presents an efficient digital system using Field Programmable Gate Array (FPGA) to filter the Electrocardi...
66 return _wrapit(obj, method, *args, **kwds) ValueError: cannot reshape array of size 12 into shape (3,5) (这些错误回溯很长,因为ipython %xmode被设置为verbose.) edit np.random.rand有这样的注释: rand(d0, d1, ..., dn) Random values in a given shape. .. note:: This is a ...
The 1d-array batch query will be implicitly treated as a batch with size = 1. If you want 1d result, please use query method.result = prtree.query(q[0]) print(result) # [1] result = prtree.batch_query(q[0]) print(result) # [[1]]...
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