參照棧類模板的例子編寫一個(gè)隊(duì)列類模板class <T> Queue，私有成員包括：隊(duì)首指針Front，隊(duì)尾指針Tail，隊(duì)列容積max。實(shí)現(xiàn)：構(gòu)造函數(shù)Queue，復(fù)制構(gòu)造函數(shù)Queue，析構(gòu)函數(shù)~Queue，入隊(duì)函數(shù)In，出隊(duì)函數(shù)Out（每次出隊(duì)，后面的元素自動(dòng)前移一位），判隊(duì)列空函數(shù)Empty。并分別用隊(duì)列類模板定義int和double對(duì)象，通過實(shí)例調(diào)用各個(gè)成員函數(shù)。
標(biāo)簽： Queue 函數(shù) double class Front Empty 隊(duì)列 Tail 模板 Out
上傳時(shí)間： 2020-05-04
上傳用戶：1qw2e3r4t5y6u7i8
Digital mobile wireless communication and the Internet have undergone a fantastic growth in the last few years and, despite originating from two different worlds, they are converging. This convergence corresponds to the evolution of mobile systems towards the highest broadband data transmissions (GSM, EDGE/GPRS, UMTS then HSDPA), while the computing world gets equipped with wireless technologies such as Wi-Fi or Wi-Max.
標(biāo)簽： Reconfigurable Systems Mobile Radio
上傳時(shí)間： 2020-06-01
上傳用戶：shancjb
This paper presents a Hidden Markov Model (HMM)-based speech enhancement method, aiming at reducing non-stationary noise from speech signals. The system is based on the assumption that the speech and the noise are additive and uncorrelated. Cepstral features are used to extract statistical information from both the speech and the noise. A-priori statistical information is collected from long training sequences into ergodic hidden Markov models. Given the ergodic models for the speech and the noise, a compensated speech-noise model is created by means of parallel model combination, using a log-normal approximation. During the compensation, the mean of every mixture in the speech and noise model is stored. The stored means are then used in the enhancement process to create the most likely speech and noise power spectral distributions using the forward algorithm combined with mixture probability. The distributions are used to generate a Wiener filter for every observation. The paper includes a performance evaluation of the speech enhancer for stationary as well as non-stationary noise environment.
標(biāo)簽： Telecommunications Processing Signal for
上傳時(shí)間： 2020-06-01
上傳用戶：shancjb
Part I provides a compact survey on classical stochastic geometry models. The basic models defined in this part will be used and extended throughout the whole monograph, and in particular to SINR based models. Note however that these classical stochastic models can be used in a variety of contexts which go far beyond the modeling of wireless networks. Chapter 1 reviews the definition and basic properties of Poisson point processes in Euclidean space. We review key operations on Poisson point processes (thinning, superposition, displacement) as well as key formulas like Campbell’s formula. Chapter 2 is focused on properties of the spatial shot-noise process: its continuity properties, its Laplace transform, its moments etc. Both additive and max shot-noise processes are studied. Chapter 3 bears on coverage processes, and in particular on the Boolean model. Its basic coverage characteristics are reviewed. We also give a brief account of its percolation properties. Chapter 4 studies random tessellations; the main focus is on Poisson–Voronoi tessellations and cells. We also discuss various random objects associated with bivariate point processes such as the set of points of the first point process that fall in a Voronoi cell w.r.t. the second point process.
標(biāo)簽： Stochastic Geometry Networks Wireless Volume and
上傳時(shí)間： 2020-06-01
上傳用戶：shancjb
MPU6050六軸傳感器模塊技術(shù)資料包括模塊原理圖+-STM32F1程序源碼+技術(shù)文檔資料:MPU-6000 & MPU-6050 寄存器表及其描述(中文版).pdfMPU-6000 & MPU-6050產(chǎn)品說明書(中文版).pdfMPU-6000 and MPU-6050 Product Specification.pdfMPU-6000 and MPU-6050 Register Map and Descriptions.pdfMPU6050六軸傳感器模塊程序PZ-MPU6050六軸傳感器模塊原理圖.pdfPZ-MPU6050六軸傳感器模塊開發(fā)手冊(cè)--普中STM32F1開發(fā)板.pdf叉積法融合陀螺和加速度核心程序詳解（圓點(diǎn)博士四軸）.pdf姿態(tài)解算說明（Mini AHRS）.pdf調(diào)試工具
標(biāo)簽： mpu6050 傳感器 mpu stm32
上傳時(shí)間： 2021-10-15
上傳用戶：qdxqdxqdxqdx
華為榮耀8手機(jī)全系列原廠維修圖紙?jiān)韴D電路圖PCB位件圖合集華為榮耀8X Max原廠圖紙華為榮耀8X原廠維修圖紙華為榮耀8原廠維修圖紙華為榮耀8青春原廠維修圖紙
上傳時(shí)間： 2021-10-22
上傳用戶：
Wide 2.2V to 6V Input Voltage Range ? 0.20V FB adjustable LED drive current ? Directly drive 9 Series 1W LED at VIN>=6V ? Fixed 800KHz Switching Frequency ? Max. 3A Switching Current Capability ? Up to 92% efficiency ? Excellent line and load regulation ? EN PIN TTL shutdown capability ? Internal Optimize Power MOSFET
標(biāo)簽： sc3633
上傳時(shí)間： 2021-11-05
上傳用戶：d1997wayne
fish文庫(kù)下載器是一款免費(fèi)的文庫(kù)文檔下載工具。這款軟件適用范圍廣,支持百度、豆丁、暢享、MBALib、HP009、MAX、Book118等文庫(kù)文檔,用戶可以免費(fèi)在線下載
標(biāo)簽： Fish
上傳時(shí)間： 2021-11-10
上傳用戶：瘋子惡趣味
SH367309是5-16串鋰電池BMS用數(shù)字前端芯片，適用于總電壓不超過70V的鋰電池Pack。 SH367309工作在保護(hù)模式下，可獨(dú)立保護(hù)鋰電池Pack。提供過充電保護(hù)、過放電保護(hù)、溫度保護(hù)、充放電過流保護(hù)、短路保護(hù)、二次過充電保護(hù)等。集成平衡開關(guān)提高電芯一致性。 SH367309工作在采集模式下，可配合MCU管理鋰電池Pack，同時(shí)使能所有保護(hù)功能。 SH367309內(nèi)置VADC，用于采集電芯電壓、溫度以及電流；內(nèi)置CADC采集電流，用于統(tǒng)計(jì)Pack剩余容量；內(nèi)置EEPROM，用于保存保護(hù)閾值及延時(shí)等可調(diào)參數(shù)；內(nèi)置TWI通訊接口，用于操作相關(guān)寄存器及EEPROM。產(chǎn)品特性介紹■ 硬件保護(hù)功能 - 過充電保護(hù)功能 - 過放電保護(hù)功能 - 充放電高溫保護(hù)功能 - 充放電低溫保護(hù)功能 - 充放電過流保護(hù)功能 - 短路保護(hù)功能 - 二次過充電保護(hù)功能 - 斷線保護(hù)功能■ 內(nèi)置平衡開關(guān)■ 禁止低壓電芯充電功能■ 小電流檢測(cè)功能■ 支持亂序上下電■ 內(nèi)置看門狗模塊■ 模式設(shè)計(jì) - 采集模式（SH367309配合MCU應(yīng)用） - 保護(hù)模式（SH367309獨(dú)立應(yīng)用） - 倉(cāng)運(yùn)模式 - 燒寫模式■ 13-bit VADC用于采集電壓/溫度/電流 - 轉(zhuǎn)換頻率：10Hz - 16路電壓采集通道 - 1路電流采集通道 - 3路溫度采集通道■ 16-bit ?-?CADC用于采集電流 - 轉(zhuǎn)換頻率：4Hz■ 內(nèi)置EEPROM - 編程/擦除次數(shù)：≤ 100次■ 穩(wěn)壓電源 - 3.3V（25mA@MAX）■ MOSFET驅(qū)動(dòng)：電池組負(fù)端NMOS驅(qū)動(dòng)■ CTL管腳：優(yōu)先控制充放電MOSFET關(guān)閉■ TWI通訊接口：支持CRC8校驗(yàn)■ 低功耗設(shè)計(jì)： - IDLE狀態(tài) - SLEEP狀態(tài) - Powerdown狀態(tài)■ 封裝 - TQFP48L
標(biāo)簽： sh367309
上傳時(shí)間： 2021-11-22
上傳用戶：jason_vip1
Mathlab發(fā)行的圖形計(jì)算器應(yīng)用于安卓設(shè)備的高品質(zhì)顯示屏上，對(duì)用戶來說，計(jì)算更加清晰易懂且一目了然。這個(gè)程序有兩大優(yōu)勢(shì)：首先，它不僅是一個(gè)精細(xì)的科學(xué)計(jì)算器，而且更重要的是，它在您輸入過程中顯示計(jì)算步驟，可以讓學(xué)生觀看和學(xué)習(xí)如何得出最終答案。第二，它的圖形顯示能力超乎尋常！不僅計(jì)算器顯示圖精美，而且會(huì)自動(dòng)并顯示生成x和y的值。本軟件適用于Android平臺(tái)專業(yè)版的功能* 3D圖形* 全屏* 9的工作區(qū)域* 保存常量和函數(shù)庫(kù)* 不要求因特網(wǎng)* 沒有廣告科學(xué)計(jì)算器* 算術(shù)表達(dá)式 +, - ，*，/，÷* 平方根，立方和多次方根 （保持‘√’密鑰）* 指數(shù)，對(duì)數(shù) （ln，log）* 三角函數(shù)sin π/2，cos 30°，...* 雙曲線函數(shù)：正弦，余弦，正切，...（按“e”鍵切換）* 反函數(shù)（按直接功能鍵）* 復(fù)數(shù)，所有功能都支持復(fù)數(shù)* 導(dǎo)數(shù) sin x' = cos x，... （按 x^n 鍵）* 科學(xué)記數(shù)法（在菜單中啟用）* 百分比模式* 保存/載入歷史圖形計(jì)算器* 多種功能繪圖* 隱函數(shù)的第二度（橢圓 2x^2+3y^2=1，等等）* 極性圖 （r=cos2θ）* 參數(shù)函數(shù)，輸入新線 （x=cos t，y=sin t）* 功能根和交叉點(diǎn)的圖表，請(qǐng)點(diǎn)選的傳說開啟和關(guān)閉（左上角），使用菜單顯示為一個(gè)列表* 圖交叉口 （x^2=x+1）* 跟蹤函數(shù)值和斜坡* 滾動(dòng)和縮放圖表* 捏放大* 橫向全屏圖* 函數(shù)表* 保存為圖像圖形* 表保存為 CSV分?jǐn)?shù)計(jì)算器* 簡(jiǎn)單和復(fù)雜的分?jǐn)?shù) 1/2+1/3=5/6* 混合數(shù)字時(shí)，使用空格輸入值 3 1/2代數(shù)計(jì)算器* 線性方程 x+1=2 -> x=1* 二次方程 x^2-1= 0 -> x=-1,1* 較高多項(xiàng)式近似根* 系統(tǒng)線性方程組，每行寫一個(gè)方程式，x1+x2=1，x1-x2=2* 多項(xiàng)式長(zhǎng)除法* 多項(xiàng)式展開，多項(xiàng)式展開，因式分解矩陣計(jì)算器* 矩陣和向量運(yùn)算* 點(diǎn)擊點(diǎn)積 （按住*），多種功能的圖形* 行列式，逆，規(guī)范，移調(diào)，跟蹤庫(kù)自定義* 用戶定義的常量和函數(shù)* 保存/加載表達(dá)式
上傳時(shí)間： 2021-12-12
上傳用戶：XuVshu
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