asked in 社會與文化語言 · 9 years ago

有人可以幫我翻譯成中文嗎?!

¡ In order to operate on real-world data, DSPs must be able to handle calculations with real number. The number formats used by DSPs to represent real numbers fall into two major categories:fixed point and floating point. Each of these formats allow a DSP to store and combine real numbers, but each has important advantages most often rely on binary or hexadeci-mal formats to represent numbers ¡ Conversions between decimal (base 10), binary (base 2), and hexadecimal (base 16) numbers are explained in Appendix A.11. As indicated in the ap-pendix, numbers can be marked by a subscript according to their bases, and hexadecimal numbers are frequently marked with the annotations “0x” or “h.”¡ To compare fixed point and floating point and formats requires the concepts of dynamic range and resolution. Dynamic range, reported in dB, refers to the ratio of the maximum possible range of the signal, called the full scale range, to the smallest signal difference that can be resolved, the quantization step size.¡ An alternative form of this definition, which gives a slightly larger result, is:¡ Resolution refers to the size of the step between two adjacent numbers in a number system. The smaller the step size, the better the resolution of the system and the more closely a real number can be approximated. ¡ For a given full scale range, the better the resolution, the greater the dynamic range of the system. Resolution may be increased by increasing the number of fractional bits in a number format. In a binary number, fractional bits are the bits to the right of the binary point (an analog of the decimal point). ¡ Since a limited number of bits is available, quantization error affect all number represented in fixed or floating point formats, no matter how many fractional bits are used. Except for the very largest signals in range, these errors can never be greater than half of the step size between adjacent quantization levels, as explained in Section 2.3.

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  • piglet
    Lv 6
    9 years ago
    Favorite Answer

    為了操作於現實世界的數據,數字信號處理器必須能夠處理的計算與實數。這個數字格式使用的DSP來表示實數可分為兩大類:

    固定點和浮點運算。這些格式可以讓每一個 DSP存儲,並結合實數,但每個都有最重要的優勢往往依賴於二進制或hexadeci -不善的格式來表示數字

    ¡十進制之間的轉換(基10),二進制(底數 2),和十六進制(基數為 16)號解釋在附錄 A.11。正如在AP - pendix,數字可以標記由標根據他們的基地,和十六進制數經常標有註釋“0x”或“小時”

    ¡比較固定點和流動點的概念和格式要求的動態範圍和分辨率。動態範圍,以dB,指的是比例最大的可能範圍的信號,稱為滿量程範圍,以最小的信號不同的是可以解決的,量化步長。

    ¡另一種形式的這一定義,這給稍大的結果是:

    ¡分辨率是指該步驟的大小兩個相鄰的號碼中的數字系統。較小的步長,更好的解決了系統和更密切的一個實數可以近似。

    ¡對於給定的滿量程範圍,更好的分辨率,更大的動態範圍的系統。決議可能會增加,增加多少分數位的數字格式。在二進制數,分數位是位右邊的二進制點(一個模擬的小數點)。

    ¡由於數量有限位可用,量化誤差影響所有的數字表示在固定或浮點格式,不管有多少位小數使用。除了信號範圍非常大,這些誤差不能大於一半的量化步長相鄰的水平,正如在2.3節。

    2011-01-05 23:07:12 補充:

    英語老師

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