polycom w2

be less than 50 ms, so that the free loop frequency ω N can be determined. ω n> 150 (rad · Hz), take ω n = 300 (rad · Hz ). K0, KD, ε, ω N, t are substituted into the formula (3), (4), C1 = 67.3273309, C2 = 0.1859953. 2-48-Bit fixed-point extension accuracy Algorithm When the algorithm described in Figure 3 is directly implemented using the floating point operation in the C language on the tms320vc5510, only the C compiler can generate fixed-point commands to simulate floating-point operations.

Main features of this algorithm The problem of two-dimensional cropping is converted into a secondary one-dimensional cropping problem, and the problem of cropping is transformed into solving a set of inequalities; The improvement of the Cohen-Sutherland encoding algorithm is only applicable to the shortcomings of the line segments on the same side (or left, or right, or top or bottom) of the window. The algorithm is divided into one and two dimensions. The former is the basis of th

does not guarantee the stability of their interpolation results, because they cannot be normalized, therefore, it cannot be ensured that the length of the vector obtained after the final interpolation (the distance between two points after the Rotation Transformation) is equal, while the Quaternary element is in a unified four-dimensional space, facilitating normalization for interpolation, the Axis and angle can be easily obtained for the information data of 3D images, so it is not appropriate

Iris Classification Neural Networkneural NetworkFormula derivation\[\begin{align}a = x \cdot w_1 \y = a \cdot w_2 \ = x \cdot w_1 \cdot w_2 \y = Softmax (y) \end{align }\]Code (training only)\[a = x \cdot w_1 \y = a \cdot w_2\]= tf.Variable(tf.random_normal([4,5], stddev=1, seed=1= tf.Variable(tf.random_normal([5,3], stddev=1, seed=1= tf.placeholder(tf.float32, shape=(None4), name=‘x-input‘== tf.matmul(a, w2)Since there is supervised learning, it i

calculation diagram can be written as shown in the following figure: Make a=5,b=3,c=2 Forward propagation Process: From left to right, then u=bc=6,v=a+u=11,j=3v=33. Reverse propagation process: The partial derivative of J to parameter A. From right to left, J is the function of V, and V is the function of a. Using the derivation technique, you can get: ∂j∂a=∂j∂v⋅∂v∂a=3⋅1=3 The partial derivative of J to parameter B. From right to left, J is a function of V, V is a function of u, and U is a fu

name, except by. Incomparables Specifies which cells in by are not merged. Example:W1:NAME SCHOOL CLASS 中文版AS1Ten -B S25 -AS14 -AS1 One -C S11 AW2:NAME SCHOOL CLASS MATHS 中文版AS35 the theB S25 the BayiC S11 - +By name, SCHOOL, class merges W1 and W2:Merge (W1, w2, all =T) NAME SCHOOL CLASS 中文版 MATHS1A S14 - NA2A S1Ten -

to use, we handle its click event. Private void OnClick (object sender, RoutedEventArgs e) { new Addnewwindow (); W2. Show (); This . Owner = w2; }For a window, you must display it later to manipulate the Owner property, and for security, you can then think about who the owner is after the window is displayed.Now let's run a little bit. This is th

reflect the credibility of words. Main statistical models: n-gram and Hidden Markov Model (Hidden Markov Model, hmm) 1.2.1n-gram model idea The model is based on the assumption that the appearance of the N words is only related to the previous N-1 words, but not to any other words, the probability of a sentence is the product of the probability of occurrence of each word. We give a word and then guess what the next word is. What do you think of the next word when I say "yanzhaomen? I thi

modify the cyclic variables J and I? After reading it for half a day, I realized that I wanted to copy a part of the Matrix to a temporary array. In fact, this replication is completely unnecessary. Later I spent a few hours doing a huge reconstruction of this simple program. During this period, we constantly find extremely repeated code, and even some duplicate code is inconsistent (that is, some of the copied code has been modified and corrected ). Let's take a look at this Code:If (S [1] [1]

. For example ,''KS"Denotes the king of spades.Card descriptions are separated from each other by one space.OutputFor each test case, output a line with one real number-the probability that George wins the game if he plays randomly. Your answer must be accurate up to 10-6.Sample InputAS 9S 6C KSJC QH AC KH7S QD JD KDQS TS JS 9H6D TD AD 8SQC TH KC 8D8C 9D TC 7C9C 7H JH 7D8H 6S AH 6HSample Output0.589314SourceRoot: aoapc ii: Beginning Algorithm Contests (Second Edition) (Rujia Liu): Chapter 10. Ma

machines, they is often unsuitable for smaller devices like cell phones a nd embedded electronics.In order to simplify the networks, Professor Zhang tries to introduce simple, efficient, and accurate approximations to CN Ns by binarizing the weights. Professor Zhang needs your help.More specifically, given a weighted vector W =(w1,w2,..., WN).Professor Zhang would like to find a binary vector B =(b1,b2,..., bn)(bI∈{+1,-1})and a scaling factorα≥0In su